Lately there has been a lot of interest in explainable AI/ML and here we examine some techniques to interpret what your model is doing.
Every machine learning algorithm has hyper-parameters that can be tuned to get better performance. I'll show you two simple ways to get started.
We show how to use simple techniques from Scikit-learn on a text classification task for a client.
We try out the IBM Watson NLP API on a simple text classification task for a client and are pleasantly surprised.
We're hosting an AI/ML unconference in Portland, Oregon to discuss ways to ensure the effects are positive and improve the lives of all individuals.
A very early version of a bot that tries to answer some basic questions related to the Affordable Care Act.
Slides and code from my talk on Intro to Deep Learning for Core ML.
These are the slides for a recent talk I gave at PDX Node on ClojureScript and why one might consider using a transpiled language.
Every major company is investing heavily in AI/ML. How can we use that to make it work for us and our customers?
Given that Python dominates ML/DL; Is there a valid use case for Clojure?
A mastermind group can help you focus your energy on that tough project or startup.
An online Clojure web development study group
We used CLJS, Reagent, Figwheel, re-frame to build a simple working single page app to discuss related concepts.
Slides and Code from a recent workshop in Portland. Random Forests ensemble method for classification and regression. Creates multiple decision trees and combines individual predictions into one overall prediction.
Learn the basics of computer programming by making games! This 2 hour workshop will give you an introduction and overview to programming, programming with Clojure and developing simple games.
This is a beginner's guide to monetizing your iPhone App. Writing this article has helped me clarify my thinking, and hopefully it will stimulate you with ideas that you will share so that we all benefit.